Classroom teaching analysis and quality evaluation system and method based on behavior and expression intelligent identification
A technology of intelligent analysis and quality assessment, which is applied in character and pattern recognition, biometric recognition, and facial feature acquisition/recognition. The effect of not being specific in class
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[0182] Example 1
[0183] A classroom teaching analysis and quality evaluation system based on intelligent analysis of behavior and expression, such as figure 1 As shown, it includes an image data acquisition module, a data intelligent analysis module, a classroom teaching index analysis module, a teaching comprehensive analysis and quality evaluation module, and a teaching analysis report output module connected in sequence.
[0184] The image data acquisition module is used to collect the original image data of students and teachers, that is, use the classroom camera monitoring system to collect images of teachers, students and the classroom environment, and send them to the data intelligent analysis module; the image data acquisition module uses the classroom camera to monitor equipment timing Collect (the time interval of collection can be set according to system requirements, such as every second, every 10 seconds, every minute, etc.) classroom videos, and use existing digital...
Example Embodiment
[0189] Example 2
[0190] According to embodiment 1, a classroom teaching analysis and quality assessment system based on intelligent analysis of behavior and expression, the difference lies in:
[0191] The data intelligent analysis module includes student behavior classification and recognition unit, student expression classification and recognition unit, teacher behavior classification and recognition unit, and teacher expression classification and recognition unit.
[0192] The student behavior classification recognition unit uses the existing digital image processing algorithm to complete the classification, recognition and statistics of several learning behaviors and several non-learning behaviors of students in the image data; learning behaviors, such as listening to lectures, raising hands, reading, etc. reflect learning Behavior; non-learning behaviors, such as playing mobile phones, lying on the table, chatting and other behaviors that are not related to learning.
[0193] T...
Example Embodiment
[0197] Example 3
[0198] According to Embodiment 1 or 2, a classroom teaching analysis and quality assessment system based on intelligent analysis of behavior and expression, the difference lies in:
[0199] The student behavior index analysis unit is used to analyze the performance of students in class. By counting the different proportions of various behaviors in the number of students, the behavioral aspect of students’ learning in the classroom is shown, that is, the behavior-based student enthusiasm index is calculated , Student Negativity Index, Student Behavior Evaluation Index Three indicators.
[0200] The calculation formula of student positivity index is shown in formula (1):
[0201]
[0202] In formula (1), I sb_a Indicates student positivity index; A i Represents the influence factor of different student behaviors on student positivity index, i = 1, 2, ..., M sb_a , M sb_a Indicates the upper limit of the number of student behaviors that affect the student’s motivation ...
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